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dc.contributor.authorRen, Y.
dc.contributor.authorChin, K.
dc.contributor.authorSoh, Sie Teng
dc.date.accessioned2018-12-13T09:16:08Z
dc.date.available2018-12-13T09:16:08Z
dc.date.created2018-12-12T02:46:42Z
dc.date.issued2018
dc.identifier.citationRen, Y. and Chin, K. and Soh, S.T. 2018. Minimizing Completion Time in Wireless Networks with In-Band Full Duplex Links. IEEE Access. 6: pp. 64278 - 64291.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/73323
dc.identifier.doi10.1109/ACCESS.2018.2878052
dc.description.abstract

OAPA One approach to improve network capacity in future wireless networks is to deploy Access Points (APs) in a dense manner and employ a controller to manage these APs. Another innovation is to equip nodes with an In-Band Full- Duplex (IBFD) radio, which allows them to transmit and receive simultaneously over the same frequency band. A key challenge, however, is interference. To this end, a link scheduler plays a critical role in ensuring the benefits of dense APs deployment and IBFD are not negated by severe interference. Henceforth, this paper proposes three centralized algorithms that aim to drain a given set of packets from links in minimum time. We have compared these algorithms against a schedule where links transmit independently, and an algorithm that schedules links at slot boundaries. We studied the impact of varying node densities, transmission power and Signal-to-Interference-plus-Noise Ratio (SINR) thresholds on the link schedule. Our results show the overall completion time can be reduced by 68% as compared to scheduling links individually. Moreover, our algorithms reduce the completion time by 13% as compared to scheduling links on a slot-by-slot basis.

dc.publisherIEEE Access
dc.titleMinimizing Completion Time in Wireless Networks with In-Band Full Duplex Links
dc.typeJournal Article
dcterms.source.issn2169-3536
dcterms.source.titleIEEE Access
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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